iPhone18,1
Geekbench AI Score
8186
Single Precision Score
16128
Half Precision Score
15386
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | October 06 2025 07:34 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4213
783.6 IPS |
|
|
Image Classification (HP)
|
100% |
8084
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7524
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6060
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9169
148.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10542
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20297
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53757
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58790
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4369
346.6 IPS |
|
|
Object Detection (HP)
|
100% |
7989
633.7 IPS |
|
|
Object Detection (Q)
|
93% |
8046
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11502
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
22969
272.9 IPS |
|
|
Face Detection (Q)
|
100% |
17496
207.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16953
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35701
275.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
37899
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43534
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
97155
124.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120004
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10438
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19619
724.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22069
814.9 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3875
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1836
31.7 IPS |
